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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Coursera |
The Syllabus
Videos
- Welcome to the course
- Learning objectives and outline
- What is a household survey
- What is coverage
- Vignette: Why do we use coverage for large scale effectiveness evaluations
- What are sources of coverage data
- What is a good coverage indicator
- Competing expectations between evaluators, implementers, and funders
- Learning objectives and outline
- Deciding whether to use existing coverage data
- Accessing customizable coverage data tables using STATcompiler
- Learning objectives and outline
- Composite coverage indicators and coverage indices
- Coverage cascades
Readings
- Improving coverage measurement for reproductive, maternal, neonatal and child health: gaps and opportunities
- Coverage Data Quality Checklist Guide
- Coverage Data Quality Checklist (excel)
- Survey Quality Checklist Guide
- Survey Quality Checklist (excel)
- Accessing customizable coverage data tables using STATcompiler (Activity Instructions)
- Accessing customizable coverage data tables using STATcompiler (Activity Answer Key))
- Measuring Coverage in MNCH: Determining and Interpreting Inequalities in Coverage of Maternal, Newborn, and Child Health Interventions (Optional)
- Co-coverage of preventive interventions and implications for child-survival strategies- evidence from national surveys
- Mind the gap- equity and trends in coverage of maternal, newborn, and child health services in 54 Countdown countries
- Summary indices for monitoring universal coverage in maternal and child health care (Optional)
- Advances in the measurement of coverage for RMNCH and nutrition - from contact to effective coverage
Practice Exercise
- Module 1 Summative Exam
Videos
- Welcome to Module 2
- Learning objectives and outline
- Selecting indicators to measure in your survey
- Vignette: Assessing indicator validity- pneumonia example
- Sample size- Considerations
- Key concepts and inputs for sample size calculation (optional)
- Sample size – Calculation (optional)
- Vignette: PMNCH in Burkina Faso- Unequal sample size
- Vignette: Introducing the RADAR sample size calculator
- Learning objectives and outline
- Establishing implementation collaborations
- Timing considerations for coverage survey implementation (Part 1)
- Timing considerations for coverage survey implementation (Part 2)
- Staffing considerations
- Supply and equipment considerations for coverage survey implementation
- Budget considerations
- Vignette: What to do when your budget and your study objectives don’t line up
- Vignette: Translating sample size and sampling design into a budget
- Proposal & ethical considerations
- Vignette: Building a budget
Practice Exercise
- Module 2 Summative Exam
Videos
- Welcome to Module 3
- Learning objectives and outline
- Sampling
- Sampling- Choosing your location and strata
- Sampling- Selecting your clusters
- Vignette: Sampling clusters with PPS
- Sampling households using the gold standard method
- Sampling households using other methods
- Vignette: RADAR household sampling app
- Activity: Draw a household sample using the RADAR sampling app
- Sampling individuals
- Vignette: Barriers to good sampling
- Learning objectives and outline
- Overview of mapping
- Creating a map
- Segmentation of an enumeration area
- Household enumeration
Readings
- Draw a household sample using the RADAR sampling app (Activity instructions)
- Mapping manual and forms sections
Practice Exercise
- Module 3 Summative Exam
Videos
- Welcome to Module 4
- Learning objectives and outline
- Questionnaire Design- Part I: Identifying questions to measure indicators
- Questionnaire Design-Part II: Questionnaire construction
- Introduction to the RADAR Questionnaire: Part I
- Introduction to the RADAR Questionnaire: Part II
- Manuals, forms, & other supports
- Adapting & translating tools
- Vignette: Language considerations
- CAPI- Computer Assisted Personal Interviewing
Readings
- So you want to do research? Questionnaire design
- The RADAR Questionnaire
- RADAR Manuals, forms & other supports
Practice Exercise
- Module 4 Summative Exam
Videos
- Welcome to Module 5
- Learning objectives and outline
- Training materials
- Components of training
- Main components of supervisor training
- Training approaches
- Selecting your interviewers
- Vignette: Selecting interviewers
- Language considerations
- Vignette: Language considerations
- Ethical considerations
- Training on CAPI and data management
- Vignette: CAPI How-to
- Activity: Using ODK Tools
- Logistical considerations in the field
- Deployment plan
- Learning objectives and outline
- Designing CAPI for data quality assurance
- Data quality assurance in data collection
- Data quality monitoring in data collection
- Learning objectives and outline
- Implementation of data collection
- Vignette: A day in the field
- Development and configuration of the CAPI tool
- Documentation
- Vignette: Challenges in planning and logistics
- Vignette: Challenges in data collection ethics and quality assurance
Reading
- RADAR Training materials
Practice Exercise
- Module 5 Summative Exam
Videos
- Welcome to Module 6
- Learning objectives and outline
- Overview of data management and analysis
- Creating results tables and data visualizations
- Learning objectives and outline
- Analysis report
- Data interpretation and identifying key findings
- Using data for program improvement and evaluation
- Disseminating results
- Course wrap-up
Readings
- Methods for analysis of complex survey data
- Data visualization decision tree
Practice Exercise
- Module 6 Summative Exam
Instructors
Articles
30 Dec'24, 12:55 PM
30 Dec'24, 10:47 AM
30 Dec'24, 07:17 AM
27 Dec'24, 12:58 PM
27 Dec'24, 11:21 AM
27 Dec'24, 06:05 AM
26 Dec'24, 08:36 AM
26 Dec'24, 07:07 AM
26 Dec'24, 05:43 AM
26 Dec'24, 04:54 AM
6 Dec'24, 04:30 AM
4 Dec'24, 03:15 AM
29 Nov'24, 06:03 AM
19 Nov'24, 10:59 AM
2 Nov'24, 06:52 AM
11 Oct'24, 06:01 AM
13 Mar'24, 06:24 AM
29 Feb'24, 06:05 AM
27 Feb'24, 10:32 AM
13 Feb'24, 06:25 AM
30 Dec'24, 12:55 PM
30 Dec'24, 10:47 AM
30 Dec'24, 07:17 AM
27 Dec'24, 12:58 PM
27 Dec'24, 11:21 AM
27 Dec'24, 06:05 AM
26 Dec'24, 08:36 AM
26 Dec'24, 07:07 AM
26 Dec'24, 05:43 AM
26 Dec'24, 04:54 AM
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